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Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
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72 Products for "mingw python" with 2 filters applied:
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1
Python
Python
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! ...Starting Price: Free -
2
Anaconda
Anaconda
Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. ... -
3
IronPython
IronPython
IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. ...Starting Price: Free -
4
Ray
Anyscale
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries.Starting Price: Free -
5
Pathway
Pathway
Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. -
6
Solara
Widgetti BV
Many Python frameworks can handle basic dashboards but falter with complex ones, often leading teams to split into frontend and backend roles, causing various challenges. Solara is a new web framework that integrates ReactJS principles with Python simplicity. It offers a flexible API for various UI complexities and efficient state management. -
7
Mojo
Modular
Mojo 🔥 — a new programming language for all AI developers. Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models. Write Python or scale all the way down to the metal. Program the multitude of low-level AI hardware. No C++ or CUDA required. Utilize the full power of the hardware, including multiple cores, vector units, and exotic accelerator units, with the world's most advanced compiler and heterogenous runtime. ...Starting Price: Free -
8
SuperAGI SuperCoder
SuperAGI
SuperAGI SuperCoder is an open-source autonomous system that combines AI-native dev platform & AI agents to enable fully autonomous software development starting with python language & frameworks SuperCoder 2.0 leverages LLMs & Large Action Model (LAM) fine-tuned for python code generation leading to one shot or few shot python functional coding with significantly higher accuracy across SWE-bench & Codebench As an autonomous system, SuperCoder 2.0 combines software guardrails specific to development framework starting with Flask & Django with SuperAGI’s Generally Intelligent Developer Agents to deliver complex real world software systems SuperCoder 2.0 deeply integrates with existing developer stack such as Jira, Github or Gitlab, Jenkins, CSPs and QA solutions such as BrowserStack /Selenium Clouds to ensure a seamless software development experienceStarting Price: Free -
9
PermitCore
PermitCore
...It provides license key management, device activation limits, expiration and revocation, offline and floating licensing, entitlements, customer and reseller portals, payments, webhooks, and zero-knowledge encryption. Developers can integrate through a REST API or official SDKs for .NET, Node.js, Python, Java, C++, PHP, Go, and Unity. Its built-in Store completes the lifecycle from license creation and implementation to direct sales, with 0% PermitCore sales commission. PermitCore removes the need to build and maintain a separate licensing backend. A free plan is available forever for indie developers, while new customers can test paid features with a three-month free trial. ...Starting Price: $0 -
10
Codeflash
Codeflash
Codeflash is an AI-powered tool that automatically identifies and applies performance optimizations to Python code, discovering improvements across entire projects or within GitHub pull requests, enabling faster execution without sacrificing feature development. With simple installation and initialization, it has delivered dramatic speedups. Trusted by engineering teams at organizations, Codeflash has helped achieve outcomes such as 25% faster object detection (boosting Roboflow's throughput from 80 to 100 FPS), tens of merged pull requests delivering speedups in Albumentations, and ensured confidence in merging optimized code in Pydantic’s 300M+ download codebase. ...Starting Price: $30 per month -
11
godzilla.dev
godzilla.dev OÜ
godzilla.dev is an open-source framework for self-hosted crypto funding rate arbitrage and ultra-low-latency market making, built in C++ and Python. It connects to major centralized exchanges to capture funding rate spreads and run delta-neutral strategies, with an event-driven C++ core for microsecond-level order handling and a Python layer for strategy research and configuration. Everything runs on your own infrastructure: API keys, order flow, and strategy logic never leave your servers, making it suitable for funds and trading teams with strict security and compliance requirements. ...Starting Price: per contact -
12
Prefect
Prefect
Prefect is a workflow orchestration and automation platform designed for the modern context-driven era. It enables teams to turn Python functions into production-ready workflows with minimal effort. Prefect provides open-source foundations alongside managed platforms for enterprise-scale automation. The platform supports building and orchestrating data pipelines, workflows, and AI applications with full observability. Prefect Cloud offers managed orchestration with autoscaling, enterprise authentication, and built-in governance. ... -
13
Gunicorn
Gunicorn
Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX. It's a pre-fork worker model. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resources, and fairly speedy. -
14
Code Llama
Meta
...Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.Starting Price: Free -
15
Faiss
Meta
...It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.Starting Price: Free -
16
Kraken CI
Michal Nowikowski
Modern CI/CD, open-source, on-premise system that is highly scalable and focused on testing. Features: - flexible workflow planning using Starlark/Python - distributed building and testing - various executors: bare metal, Docker, LXD - highly scalable to thousands of executors - sophisticated test results analysis - integrated with AWS EC2 and ECS, Azure VM, with autoscaling - supported webhooks from GitHub, GitLab and Gitea - email and Slack notificationsStarting Price: free -
17
QuantRocket
QuantRocket
QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester. -
18
Vyper
Vyper
Vyper is a contract-oriented, pythonic programming language that targets the Ethereum Virtual Machine (EVM). Security: It should be possible and natural to build secure smart-contracts in Vyper. Language and compiler simplicity: The language and the compiler implementation should strive to be simple. Auditability: Vyper code should be maximally human-readable.Starting Price: Free -
19
Llama Stack
Meta
...The framework includes pre-configured distributions tailored for different deployment scenarios, enabling seamless transitions from local development to production environments. Developers can interact with the Llama Stack server using client SDKs available in multiple programming languages, including Python, Node.js, Swift, and Kotlin. Comprehensive documentation and example applications are provided to assist users in building and deploying Llama-based applications efficiently.Starting Price: Free -
20
Django
Django
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of web development, so you can focus on writing your app without needing to reinvent the wheel. Django was designed to help developers take applications from concept to completion as quickly as possible.Starting Price: Free -
21
packagecloud
packagecloud
...Manage all of your packages and deploy to any environment, from one beautiful interface, on-premise or in the cloud. Packagecloud supports the most popular package types, from Java to Python to Ruby and Node, and more. Built for teams with collaboration and access control features. Packagecloud just works. Upload any supported package type via a single, consistent API and deploy with ease. We run thousands of tests to ensure correct and consistent behavior even in the face of bugs in the packaging systems themselves.Starting Price: $150 per month -
22
Modeller
Paragon Business Solutions
...Choose from logistic regression, elastic net models, survival analysis (Cox PH), random forests, XGBoost, stochastic gradient descent and more. Export options for implementation in other scoring and decisioning software include SAS, SQL, PMML and Python. -
23
Horovod
Horovod
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.Starting Price: Free -
24
Codebasics
CodeBasics
Codebasics is an edtech company that provides comprehensive virtual training courses in data analytics, business intelligence, and computer programming. Its self-paced courses cover topics including Excel, Power BI, SQL, Python, and more, with both fundamental and advanced levels. Over 5,000 learners have completed Codebasics' real-world curriculum and gone on to launch careers, with alumni taking on roles at major companies like Microsoft, Netflix, Amazon and Google. Codebasics aims to equip learners with expertise in high-demand technology fields. ... -
25
AWS Thinkbox Deadline
Amazon
...Generate a hybrid or cloud-based render farm and scale to thousands of cores in minutes with the AWS Portal. Build, tailor, and deploy render farms with the Render Farm Deployment Kit (RFDK) using familiar programming languages, such as Python. Use the Jigsaw tool to render very high-resolution images faster by distributing them across multiple machines. -
26
gpt-oss-120b
OpenAI
gpt-oss-120b is a reasoning model engineered for deep, transparent thinking, delivering full chain-of-thought explanations, adjustable reasoning depth, and structured outputs, while natively invoking tools like web search and Python execution via the API. Built to slot seamlessly into self-hosted or edge deployments, it eliminates dependence on proprietary infrastructure. Although it includes default safety guardrails, its open-weight architecture allows fine-tuning that could override built-in controls, so implementers are responsible for adding input filtering, output monitoring, and governance measures to achieve enterprise-grade security. ... -
27
Carmenta
Carmenta
...The core SDK, Carmenta Engine, supports high-performance rendering of 2D and 3D maps with live dynamic data like video streams and radar plots, and offers advanced analytics such as line-of-sight, terrain analysis, and tactical overlays, while running on Windows, Linux, and Android with APIs for C++, .NET, Java, and Python. Carmenta Server is a scalable web map server backend that reads and serves more than 100 geospatial data formats through open standards, supports spatial analysis, and can deploy on-premises, in the cloud, or in container environments for interactive web services. The technology emphasizes flexibility, interoperability, and integration into mission-critical systems with open standards support and cross-platform capabilities. -
28
LakeSail
LakeSail
LakeSail is a unified, cloud-native data and AI platform designed to transform how organizations process, analyze, and act on large-scale data by combining all workloads into a single, high-performance system. At its core is Sail, a Rust-native distributed computation engine that serves as a drop-in replacement for Apache Spark, enabling teams to run existing SQL and Python workloads without rewriting code while eliminating JVM overhead and improving efficiency. It unifies batch processing, stream processing, ad-hoc queries, and AI workloads into one runtime, allowing data pipelines and intelligent systems to operate seamlessly on the same infrastructure. It introduces a multimodal lakehouse architecture capable of handling structured and unstructured data, including PDFs, images, and video, within a single environment, making it suitable for modern AI-driven use cases. -
29
BlueCat Gateway
BlueCat
BlueCat Gateway is a Python-based automation platform that extends the Integrity ecosystem with powerful tools for streamlining DNS, DHCP, and IPAM workflows. It enables organizations to integrate third-party systems like ServiceNow and Terraform, making end-to-end automated provisioning fast, consistent, and compliant. With its intuitive development environment, Gateway lets teams create custom plugins, workflows, and self-service forms that reduce manual workload and enforce network policies. ... -
30
CAD Exchanger
CADEX
...APPLICATION FOR END-USERS • CAD Exchanger Lab. View, analyze and convert 3D data on desktop. SDKs & TOOLS FOR SOFTWARE DEVELOPERS • CAD Exchanger SDK. C++, C#, Java, Python libraries for applications and SaaS solutions. • CAD Exchanger Batch. Light-weight command-line tool for batch conversions in corporate or cloud environments. We are proud to have customers from Fortune-100 companies and feel honored to contribute to today’s leaders’ projects: Tesla in the automotive industry, Apple in consumer electronics, NASA in space exploration, Amazon in the delivery business and many others...Starting Price: $590/per year
